Comparison of non-prewhitening and Hotelling observer models

Arthur E. Burgess

doi:10.1117/12.206837

17 April 1995 Comparison of non-prewhitening and Hotelling observer models

Arthur E. Burgess

Proceedings Volume 2436, Medical Imaging 1995: Image Perception; (1995) https://doi.org/10.1117/12.206837
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

Abstract

Recent investigations of human signal detection performance for noise limited tasks have used statistically defined signal or image parameters. The Bayesian ideal observer procedure is then nonlinear and analysis becomes mathematically intractable. Linear, but suboptimal, observer models have been proposed for mathematical convenience. Experiments by Rolland and Barrett involving detection of completely defined signals in white noise superimposed on statistically defined (Lumpy) backgrounds showed that the Fisher-Hotelling model gave a good fit while the simple nonprewhitening (NPW) matched filter gave a poor fit. Burgess showed that the NPW model can be modified to fit their data by adding a spatial frequency filter with response similar to the human contrast sensitivity function. New experimental results will be presented demonstrating that neither model is satisfactory. The results of our experiments done with a variety of spectral densities for the background can be described by a Fisher-Hotelling model modified to include simple circularly symmetric spatial frequency channels as proposed by Myers and Barrett. However, results of our variable viewing distance experiments do not agree with predictions of this simple channelized model. It will be necessary to use a more complex F model with physiologically reasonable spatial frequency channels.

Citation Download Citation

Arthur E. Burgess "Comparison of non-prewhitening and Hotelling observer models", Proc. SPIE 2436, Medical Imaging 1995: Image Perception, (17 April 1995); https://doi.org/10.1117/12.206837

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